Skip to main content

Part of the book series: Natural Resource Management and Policy ((NRMP,volume 50))

  • 333 Accesses

Abstract

This contribution uses econometric analysis to uncover the various factors driving crop choice in six states along the Mississippi River. Aside from temperature and precipitation, soil characteristics are also included as explanatory factors—which is a factor often omitted from many studies. The analysis shows soil to be a key determinant of corn and soybean area in the regions studied.

Peter Berck is now deceased.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  • Anderson, S., Wang, C. & Zhao, J. (2012). Let them eat switchgrass? Modeling the displacement of existing food crops by new bioenergy feedstocks. s.l.:s.n.

    Google Scholar 

  • Baskerville, G., & Emin, P. (1969). Rapid estimation of heat accumulation from maximum and minimum temperatures. Ecology, 50, 514–517.

    Article  Google Scholar 

  • Braulke, M. (1982). A note on the Nerlove model of agricultural supply response. International Economic Review, 23(1), 241–244.

    Article  Google Scholar 

  • Chavas, J.-P., & Holt, M. T. (1990). Acreage decisions under risk: The case of corn and soybeans. American Journal of Agricultural Economics, 72(3), 529–538.

    Article  Google Scholar 

  • Choi, J.-S., & Helmberger, P. G. (1993). How sensitive are crop yields to price changes and Farm programs? Journal of Agricultural and Applied Economics, 25, 237–244.

    Article  Google Scholar 

  • Hausman, C. (2012). Biofuels and land use change: Sugarcane and soybean acreage response in Brazil. Environmental and Resource Economics, 51(2), 163–187.

    Article  Google Scholar 

  • Huang, H., & Khanna, M. (2010). An econometric analysis of US crop yield and cropland acreage: Implications for the impact of climate change (pp. 25–27). Denver, Colorado, s.n.

    Google Scholar 

  • Just, R. E. (1974). An investigation of the importance of risk in farmers’ decisions. American Journal of Agricultural Economics, 56(1), 14–25.

    Article  Google Scholar 

  • Lin, W., & Dismukes, R. (2007). Supply response under risk: Implications for counter-cyclical payments’ production impact. Applied Economic Perspectives and Policy, 29(1), 64–86.

    Google Scholar 

  • Lobell, D. B., Banziger, M., Magorokosho, C., & Vivek, B. (2011). Nonlinear heat effects on African maize as evidenced by historical yield trials. Nature Climate Change, 1(1), 42–45.

    Article  Google Scholar 

  • Mueller, R., & Seffrin, R. (2006). New methods and satellites: A program update on the NASS cropland data layer acreage program. Remote Sensing Support to Crop Yield Forecast and Area Estimates, ISPRS Archives, 36(8), 48.

    Google Scholar 

  • Nerlove, M. (1956). Estimates of the elasticities of supply of selected agricultural commodities. Journal of Farm Economics, 38(2), 496–509.

    Article  Google Scholar 

  • Schlenker, W., & Roberts, M. J. (2009). Nonlinear temperature effects indicate severe damages to US crop yields under climate change. Proceedings of the National Academy of Sciences, 106(37), 15594–15598.

    Article  Google Scholar 

  • Searchinger, T., et al. (2008). Use of US croplands for biofuels increases greenhouse gases through emissions from land-use change. Science, 319(5867), 1238–1240.

    Article  Google Scholar 

  • Taheripour, F., Tyner, W. E., & Wang, M. Q. (2011). Global land use changes due to the US cellulosic biofuel program simulated with the GTAP model. Argonne National Laboratory. http://greet.es.anl.gov/files/luc_ethanol.

  • Xie, L., Lewis, S. M., Auffhammer, M. et al. (2018). Environmental and Resource Economics. https://doi.org/10.1007/s10640-018-0271-7.

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lunyu Xie .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2019 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Berck, P., Xie, L. (2019). Soil and Crop Choice. In: Msangi, S., MacEwan, D. (eds) Applied Methods for Agriculture and Natural Resource Management. Natural Resource Management and Policy, vol 50. Springer, Cham. https://doi.org/10.1007/978-3-030-13487-7_3

Download citation

Publish with us

Policies and ethics